fal api

Call any model on fal directly from the command line. Useful for quick testing without writing code.

Usage

fal api <model_id> [key=value ...]

Arguments:

Argument	Description
`model_id`	The model endpoint to call (e.g., `fal-ai/flux/schnell`)
`params`	Key-value pairs for the request body (e.g., `prompt="a sunset"`)

Examples

Generate an image:

fal api fal-ai/flux/schnell prompt="a cat wearing sunglasses"

The CLI shows real-time status updates (queued, in progress) and logs while the request is processing, then prints the result. Nested parameters: Use bracket notation for nested values:

fal api fal-ai/flux/schnell prompt="a sunset" image_size[width]:=1280 image_size[height]:=720

Use := for non-string values (numbers, booleans):

fal api fal-ai/flux/schnell prompt="a sunset" num_images:=4 seed:=42

Streaming endpoints: If the model ID ends with /stream, the CLI streams output as it’s generated:

fal api fal-ai/any-llm/stream prompt="What is the meaning of life?" model=google/gemini-flash-1.5

How It Works

For regular endpoints: submits via the queue, polls for status with live log display, then prints the result
For /stream endpoints: connects via streaming and prints output as it arrives
Uses your configured FAL_KEY for authentication

Client Libraries

CLI Reference

Python SDK

Usage

Examples

How It Works

​Usage

​Examples

​How It Works

Usage

Examples

How It Works